• DocumentCode
    2922890
  • Title

    Constructing a Simple Visually-Guided Robotic Part-Grasping System with Off-the-Shelf Components

  • Author

    Delden, Sebastian

  • Author_Institution
    Div. of Math. & Comput. Sci., South Carolina Upstate Univ., Spartanburg, SC
  • fYear
    2006
  • fDate
    Nov. 2006
  • Firstpage
    211
  • Lastpage
    215
  • Abstract
    A novel approach to grasping and recognizing parts in an industrial robotic work cell is presented in this paper. The centroid, orientation, and length of elongated parts lying on a flat work area are estimated by a sequence of simple algorithms. Off-the-shelf components and freely downloadable software APIs make this system inexpensive and easily implemented. The approach has been implemented and tested with a Staubli RX60 manipulator. Results and future research are presented
  • Keywords
    industrial robots; object-oriented methods; robot vision; industrial robotic work cell; off-the-shelf component; visually-guided robotic part-grasping; Cameras; Communication system control; Java; Machine vision; Manipulators; Robot kinematics; Robot vision systems; Service robots; Universal Serial Bus; Visual servoing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 2006. ICTAI '06. 18th IEEE International Conference on
  • Conference_Location
    Arlington, VA
  • ISSN
    1082-3409
  • Print_ISBN
    0-7695-2728-0
  • Type

    conf

  • DOI
    10.1109/ICTAI.2006.48
  • Filename
    4031899